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dc.contributor.authorFreitas, Ana
dc.contributor.authorFreitas, Jorge
dc.contributor.authorTodd, Michael John
dc.date.accessioned2015-11-24T00:11:15Z
dc.date.available2015-11-24T00:11:15Z
dc.date.issued2015-04
dc.identifier52377212
dc.identifier1e3a1355-d0a8-486a-a80e-13e49c6ae148
dc.identifier000350078400017
dc.identifier85027941629
dc.identifier.citationFreitas , A , Freitas , J & Todd , M J 2015 , ' Speed of convergence for laws of rare events and escape rates ' , Stochastic Processes and their Applications , vol. 125 , no. 4 , pp. 1653-1687 . https://doi.org/10.1016/j.spa.2014.11.011en
dc.identifier.issn1879-209X
dc.identifier.otherORCID: /0000-0002-0042-0713/work/54181510
dc.identifier.urihttps://hdl.handle.net/10023/7837
dc.descriptionMT was partially supported by NSF grant DMS 1109587. All authors are supported by FCT (Portugal) projects PTDC/MAT/099493/2008 and PTDC/MAT/120346/2010, which are financed by national and European structural funds through the programs FEDER and COMPETE. All three authors were also supported by CMUP, which is financed by FCT (Portugal) through the programs POCTI and POSI, with national and European structural funds, under the project PEst-C/MAT/UI0144/2013.en
dc.description.abstractWe obtain error terms on the rate of convergence to Extreme Value Laws, and to the asymptotic Hitting Time Statistics, for a general class of weakly dependent stochastic processes. The dependence of the error terms on the ‘time’ and ‘length’ scales is very explicit. Specialising to data derived from a class of dynamical systems we find even more detailed error terms, one application of which is to consider escape rates through small holes in these systems.
dc.format.extent35
dc.format.extent1044274
dc.language.isoeng
dc.relation.ispartofStochastic Processes and their Applicationsen
dc.subjectExtreme value theoryen
dc.subjectReturn time statisticsen
dc.subjectStationary stochastic processesen
dc.subjectMetastabilityen
dc.subjectQA Mathematicsen
dc.subjectNDASen
dc.subject.lccQAen
dc.titleSpeed of convergence for laws of rare events and escape ratesen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. Pure Mathematicsen
dc.identifier.doi10.1016/j.spa.2014.11.011
dc.description.statusPeer revieweden
dc.date.embargoedUntil2015-11-24


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